PH Deck

Users need to handle JSON data frequently, which involves tasks like formatting and validation. The current situation requires users to manually format JSON strings, which can be tedious and error-prone. The drawback is that users often struggle to format, beautify, validate, and parse JSON data efficiently.

Users manually format and convert JSON data, which is time-consuming and error-prone

Users currently manually format JSON or use basic text editors, leading to time-consuming processes, error-prone validation, and lack of visualization.

Users need to convert JSON to JSONL (JSON Lines) manually or via custom scripts, which is time-consuming, error-prone, and requires technical expertise to handle nested structures.

Users struggle with formatting and validating JSON data, making it challenging to ensure consistency and correctness across different applications. They often rely on manual processes or basic text editors, which can lead to errors and inefficiencies.

Drawbacks include difficulties in correctly formatting JSON data, validating JSON for errors, and sharing formatted JSON with others.

Users dealing with large JSON files struggle to split them efficiently using manual methods or custom scripts, which are time-consuming and require technical expertise.

Developers face challenges when working with complex JSON data structures

The current solutions do not adequately support counting keys and analyzing the structure of JSON data

Users need to manually convert JSONL files to JSON format, which is time-consuming and prone to errors due to complex nested structures or large datasets.

Users manually flatten nested JSON structures or use complex scripts, which is time-consuming and error-prone, requiring technical expertise.